PLearn::PlusRandomVariable Class Reference

#include <RandomVar.h>

Inheritance diagram for PLearn::PlusRandomVariable:

[legend]Collaboration diagram for PLearn::PlusRandomVariable:

[legend]List of all members.

Public Member Functions
	PlusRandomVariable (RandomVar input1, RandomVar input2)
	RandomVariable Plus *.
virtual char *	classname ()
void	setValueFromParentsValue ()
	set the field value from the values of the parents
bool	invertible (const Var &obs, RVInstanceArray &unobserved_parents, Var **JacobianCorrection)
	!< SUBCLASS WRITERS: IMPLEMENT FUNCTIONS BELOW //!<
void	EMBprop (const Vec obs, real post)
void	EMTrainingInitialize (const RVArray &parameters_to_learn)
	Initialization of EM training (before all the iterations start).
void	EMEpochInitialize ()
	Initialization of an individual EMEpoch.
void	EMUpdate ()
const RandomVar &	X0 ()
	convenience inline's
const RandomVar &	X1 ()
bool	learn_X0 ()
	stuff for EM
bool	learn_X1 ()
Public Attributes
bool	learn_something
RandomVar	parent_to_learn
	the one of X0 or X1 that is to learn
RandomVar	other_parent
	the other one
Vec	numerator
Vec	difference
real	denom

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Detailed Description

Y = X0 + X1

if both X0 and X1 are observed, and one of them is learnable, then it can be learned by EM.

Definition at line 1293 of file RandomVar.h.

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Constructor & Destructor Documentation

PLearn::PlusRandomVariable::PlusRandomVariable (  RandomVar  input1, RandomVar  input2 )

RandomVariable Plus *. Definition at line 1309 of file RandomVar.cc. References PLearn::difference(), MAX, and PLERROR.

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Member Function Documentation

virtual char* PLearn::PlusRandomVariable::classname (   )  [inline, virtual]

Implements PLearn::RandomVariable. Definition at line 1298 of file RandomVar.h.

void PLearn::PlusRandomVariable::EMBprop (  const Vec  obs, real  post )  [virtual]

************ EM STUFF ********** propagate posterior information to parents in order to perform an EMupdate at the end of an EMEpoch. In the case of mixture-like RVs and their components, the posterior is the probability of the component "this" given the observation "obs". Implements PLearn::RandomVariable. Definition at line 1374 of file RandomVar.cc. References denom, difference, learn_something, PLearn::multiplyAcc(), numerator, other_parent, parent_to_learn, PLearn::substract(), X0(), and X1().

void PLearn::PlusRandomVariable::EMEpochInitialize (   )  [virtual]

Initialization of an individual EMEpoch. the default just propagates to the unmarked parents Reimplemented from PLearn::RandomVariable. Definition at line 1363 of file RandomVar.cc. References PLearn::TVec< T >::clear(), denom, learn_something, and numerator.

void PLearn::PlusRandomVariable::EMTrainingInitialize (  const RVArray &  parameters_to_learn  )  [virtual]

Initialization of EM training (before all the iterations start). the default just propagates to the unmarked parents Reimplemented from PLearn::RandomVariable. Definition at line 1342 of file RandomVar.cc. References learn_something, learn_X0(), learn_X1(), other_parent, parent_to_learn, PLERROR, X0(), and X1().

void PLearn::PlusRandomVariable::EMUpdate (   )  [virtual]

update the fixed (non-random) parameters using internal learning mechanism, at end of an EMEpoch. the default just propagates to the unmarked parents. Reimplemented from PLearn::RandomVariable. Definition at line 1404 of file RandomVar.cc. References denom, learn_something, learn_X0(), learn_X1(), PLearn::multiply(), numerator, parent_to_learn, X0(), and X1().

bool PLearn::PlusRandomVariable::invertible (  const Var &  obs, RVInstanceArray &  unobserved_parents, Var **  JacobianCorrection )  [virtual]

!< SUBCLASS WRITERS: IMPLEMENT FUNCTIONS BELOW //!< check whether it is possible to invert the function which maps the given unobserved parents to the observed value of the RV (obs). If invertible, do the inversion, and set the value fields of the RVInstances to Var's which are functionally dependent on obs. If the absolute value of the Jacobian of the map from the unobserved parents to this R.V.'s value is different from 1, then JacobianCorrection should point to a Var that is the logarithm of the determinant of this Jacobian (first derivatives) matrix. If the function is not invertible but it is possible to write P(Y==obs | unobserved_parents) in terms of the unobserved_parents logP functions, then the sub-class writer should instead redefine the logP function appropriately. Reimplemented from PLearn::FunctionalRandomVariable. Definition at line 1327 of file RandomVar.cc. References PLearn::TVec< RVInstance >::size(), X0(), and X1().

bool PLearn::PlusRandomVariable::learn_X0 (   )  [inline]

stuff for EM Definition at line 1313 of file RandomVar.h. Referenced by EMTrainingInitialize(), and EMUpdate().

bool PLearn::PlusRandomVariable::learn_X1 (   )  [inline]

Definition at line 1314 of file RandomVar.h. Referenced by EMTrainingInitialize(), and EMUpdate().

void PLearn::PlusRandomVariable::setValueFromParentsValue (   )  [virtual]

set the field value from the values of the parents Implements PLearn::FunctionalRandomVariable. Definition at line 1321 of file RandomVar.cc. References X0(), and X1().

const RandomVar& PLearn::PlusRandomVariable::X0 (   )  [inline]

convenience inline's Definition at line 1309 of file RandomVar.h. Referenced by EMBprop(), EMTrainingInitialize(), EMUpdate(), invertible(), and setValueFromParentsValue().

const RandomVar& PLearn::PlusRandomVariable::X1 (   )  [inline]

Definition at line 1310 of file RandomVar.h. Referenced by EMBprop(), EMTrainingInitialize(), EMUpdate(), invertible(), and setValueFromParentsValue().

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Member Data Documentation

real PLearn::PlusRandomVariable::denom

Definition at line 1320 of file RandomVar.h. Referenced by EMBprop(), EMEpochInitialize(), and EMUpdate().

Vec PLearn::PlusRandomVariable::difference

Definition at line 1319 of file RandomVar.h. Referenced by EMBprop().

bool PLearn::PlusRandomVariable::learn_something

Definition at line 1315 of file RandomVar.h. Referenced by EMBprop(), EMEpochInitialize(), EMTrainingInitialize(), and EMUpdate().

Vec PLearn::PlusRandomVariable::numerator

Definition at line 1318 of file RandomVar.h. Referenced by EMBprop(), EMEpochInitialize(), and EMUpdate().

RandomVar PLearn::PlusRandomVariable::other_parent

the other one Definition at line 1317 of file RandomVar.h. Referenced by EMBprop(), and EMTrainingInitialize().

RandomVar PLearn::PlusRandomVariable::parent_to_learn

the one of X0 or X1 that is to learn Definition at line 1316 of file RandomVar.h. Referenced by EMBprop(), EMTrainingInitialize(), and EMUpdate().

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The documentation for this class was generated from the following files:

• RandomVar.h
• RandomVar.cc

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